XML for BIOINFORMATICS
Submitted by
LISA MARYANNE BENTO
DEPARTMENT OF COMPUTER SCIENCE
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
KOCHI-682022
Abstract
Bioinformatics represents a new field of scientific inquiry, devoted to answering questions about life and using computational resources to answer those questions. A key goal of bioinformatics is to create database systems and software platforms capable of storing and analyzing large ....etc

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BIO INFORMATICS
AND
BIO-MOLECULAR COMPUTING


Introduction:

What is bioinformatics?Can be defined as the body of tools, algorithms needed to handle large and complex biological information.

Bioinformatics is a new scientific discipline created from the interaction of biology and computer.

The NCBI defines bioinformatics as:
Bioinformatics is the field of science in which biology, computer science, and information technology merge into a single discipline”


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Machine Learning for Analyzing Genome-Wide ExpressionProfiles and Proteomics Data Sets
Biological research is becoming increasinglydatabase driven, motivated, inpart, by the advent of large-scale functionalgenomics and proteomics experimentssuch as those comprehensivelymeasuring gene expression. These providea wealth of information on each ofthe thousands of proteins encoded by a genome.Consequently, a challenge inbioinformatics is integrating databases toconnect this disparate information as wellas performing large-scale studies to co ....etc

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Bioinformatics tools and software frameworks are becoming increasingly important in the analysis of genomic and biological data. To understand how to construct and design effective tools for Biologists, both their interaction behavior and task flow need to be captured. In this presentation, we will begin by modeling the biologist, including experiences with current tools, and demonstrate how this information can be transformed into UI design patterns. We will then integrate these results into an iterative pattern-oriented design process, inspir ....etc

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ABSTRACT
Bioinformatics is discipline which combines computer science, Biology, Information Technology. Bioinformatics used for storing, analysing, collecting large amount of biological information. Biological data include any type data related to plant, animal, yeast, fungi etc.
In this paper we represent how to determine genes in inherited diseases and to determine gene code for beneficial traits. Tools are used to find information about the function and location of particular genes. It gives the information of di ....etc

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Making Bioinformatics Tools User-centric

Bioinformatics tools and software frameworks are becoming increasingly important in the analysis of genomic and biological data. To understand how to construct and design effective tools for Biologists, both their interaction behavior and task flow need to be captured. In this presentation, we will begin by modeling the biologist, including experiences with current tools, and demonstrate how this information can be transformed into UI design patterns.

We ....etc

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Objective:
To predict the genes in the given nucleotide sequence (NM_000230.2) of human using the GenScan tool.
Theory:
• GenScan allows prediction of complete gene structures in genomic sequences, including exons, introns, promoters and poly-adenylation signals.
• GenScan differs from the majority of gene finding algorithms as it can identify complete, partial and multiple genes on both DNA strands. The program is based on a probabilistic model of gene structure/compositional properties and does not ....etc

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Outline
Introduction

Methods

Results

Conclusion

INTRODUCTION
Chronic diseases are caused by the interactions of various genes.
These are subject to interactions and environmental factors

Mutations

These entities and their interactions can be
represented well using graph networks
Contd..
Genomics and Phenomics

Integrated genomics–phenomics knowledge

Approach:
Generate Semantic Web based network data structures
Perform centrality analyses to rank genes
Contd..
Traditional methodolo ....etc

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Introduction

Rapid advances in bioinformatics are providing new hopes to patients of life threatening diseases. Gene chips will be able to screen heart attack and diabetics years before patients develop symptoms. In near future, patients will go to a doctor's clinic with lab- on- a- chip devices. The device will inform the doctor in real time if the patient's ailment will respond to a drug based on his DNA.

These will help doctors diagnose life-threatening illness faster, eliminating expensive, time-consuming ordeals like biopsies and s ....etc

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